stoichiometry and energetics of oxygenic phototrophic growth

The values of gross metabolic flows in cells are essentially interconnected due to conservation laws of chemical elements and interrelations of biochemical coupling. Therefore, the overall stoichiometry of cellular metabolism, such as the biomass quantum yield, the ratio between linear and circular...

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Bibliographic Details
Published in:Photosynthesis research 2013-09, Vol.116 (1), p.55-78
Main Authors: Minkevich, Igor G, Fursova, Polina V, Tjorlova, Lada D, Tsygankov, Anatoly A, Riznichenko, Galina Yu
Format: Article
Language:English
Subjects:
adenosine triphosphate
Biochemistry
Bioenergetics
Biomass
Biomedical and Life Sciences
chemical reactions
Electron transfer
Electron transport
Electron Transport - drug effects
electron transport chain
elements
Energy Metabolism
Growth
Kinetics
Life Sciences
Models, Biological
Oxygen - pharmacology
Photosynthesis
Phototrophic Processes - drug effects
Physiological aspects
Plant Genetics and Genomics
Plant Physiology
Plant Sciences
Regular Paper
stoichiometry
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Summary:The values of gross metabolic flows in cells are essentially interconnected due to conservation laws of chemical elements and interrelations of biochemical coupling. Therefore, the overall stoichiometry of cellular metabolism, such as the biomass quantum yield, the ratio between linear and circular flows via the electron transport chain, etc., can be calculated using balances of metabolic flows in the network branching points and coupling ratios related to ATP formation and expenditures. This work has studied the energetic stoichiometry of photosynthetic cells by considering the transfer of reductivity in the course of biochemical reactions. This approach yielded rigorous mathematical expressions for biomass quantum yield and other integral bioenergetic indices of cellular growth as functions of ATP balance parameters. The effect of cellular substance turnover has been taken into account. The obtained theoretical estimation of biomass quantum yield is rather close to experimental data which confirms the predictive capacity of this approach.
ISSN:0166-8595
1573-5079
DOI:10.1007/s11120-013-9896-0